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DBMS > GigaSpaces vs. Greenplum vs. Microsoft Azure Table Storage vs. Warp 10

System Properties Comparison GigaSpaces vs. Greenplum vs. Microsoft Azure Table Storage vs. Warp 10

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A Wide Column Store for rapid development using massive semi-structured datasetsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSWide column storeTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.gigaspaces.comgreenplum.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.warp10.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.greenplum.orgwww.warp10.io/­content/­02_Getting_started
DeveloperGigaspaces TechnologiesPivotal Software Inc.MicrosoftSenX
Initial release2000200520122015
Current release15.5, September 20207.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJava
Server operating systemsLinux
macOS
Solaris
Windows
LinuxhostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infoXML can be used for describing objects metadatayes infosince Version 4.2nono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-99 for query and DML statementsyesnono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languages.Net
C++
Java
Python
Scala
C
Java
Perl
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesnoyes infoWarpScript
Triggersyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GigaSpacesGreenplumMicrosoft Azure Table StorageWarp 10
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